Package: nrba
Title: Methods for Conducting Nonresponse Bias Analysis (NRBA)
Version: 0.3.1
Authors@R: 
    c(
      person(given = "Ben",
             family = "Schneider",
             role = c("aut", "cre"),
             email = "BenjaminSchneider@westat.com",
             comment = c(ORCID = "0000-0002-0406-8470")),
      person(given = "Jim",
             family = "Green",
             role = c("aut"),
             email = "JimGreen@westat.com"),
      person(given = "Shelley",
             family = "Brock",
             role = "aut",
             email = "ShelleyBrock@westat.com",
             comment = "Author of original SAS macro, WesNRBA"),
      person(given = "Tom",
             family = "Krenzke",
             role = "aut",
             email = "TomKrenzke@westat.com",
             comment = "Author of original SAS macro, WesNRBA"),
      person(given = "Michael",
             family = "Jones",
             role = "aut",
             email = "MichaelJones@westat.com",
             comment = "Author of original SAS macro, WesNRBA"),
      person(given = "Wendy",
             family = "Van de Kerckhove",
             role = "aut",
             comment = "Author of original SAS macro, WesNRBA"),
      person(given = "David",
             family = "Ferraro",
             role = "aut",
             comment = "Author of original SAS macro, WesNRBA"),
      person(given = "Laura",
             family = "Alvarez-Rojas",
             role = "aut",
             comment = "Author of original SAS macro, WesNRBA"),
      person(given = "Katie",
             family = "Hubbell",
             role = "aut",
             email = "KatieHubbell@westat.com",
             comment = "Author of original SAS macro, WesNRBA"),
      person(given = "Westat", role = c("cph")))
Description: Facilitates nonresponse bias analysis (NRBA) 
    for survey data.  Such data may arise from a complex
    sampling design with features such as stratification, clustering, or
    unequal probabilities of selection. Multiple types of analyses may be
    conducted: comparisons of response rates across subgroups; comparisons
    of estimates before and after weighting adjustments; comparisons of
    sample-based estimates to external population totals; tests of
    systematic differences in covariate means between respondents
    and full samples; tests of independence between response status
    and covariates; and modeling of outcomes and response status as a 
    function of covariates. Extensive documentation and references are
    provided for each type of analysis. Krenzke, Van de Kerckhove,
    and Mohadjer (2005) <http://www.asasrms.org/Proceedings/y2005/files/JSM2005-000572.pdf>
    and Lohr and Riddles (2016) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2016002/article/14677-eng.pdf?st=q7PyNsGR>
    provide an overview of the methods implemented in this package.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Imports: broom, dplyr, magrittr, rlang, srvyr, stats, survey (>=
        4.1-1), svrep, tidyr
Suggests: knitr, rmarkdown, stringr, testthat (>= 3.0.0), tibble
Config/testthat/edition: 3
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-11-21 01:54:42 UTC; schneider_b
Author: Ben Schneider [aut, cre] (<https://orcid.org/0000-0002-0406-8470>),
  Jim Green [aut],
  Shelley Brock [aut] (Author of original SAS macro, WesNRBA),
  Tom Krenzke [aut] (Author of original SAS macro, WesNRBA),
  Michael Jones [aut] (Author of original SAS macro, WesNRBA),
  Wendy Van de Kerckhove [aut] (Author of original SAS macro, WesNRBA),
  David Ferraro [aut] (Author of original SAS macro, WesNRBA),
  Laura Alvarez-Rojas [aut] (Author of original SAS macro, WesNRBA),
  Katie Hubbell [aut] (Author of original SAS macro, WesNRBA),
  Westat [cph]
Maintainer: Ben Schneider <BenjaminSchneider@westat.com>
Repository: CRAN
Date/Publication: 2023-11-21 05:10:02 UTC
Built: R 4.6.0; ; 2026-04-26 02:14:24 UTC; unix
